#!/usr/bin/pypy3
import plotly.graph_objs as go
from decimal import *
from sys import argv
import csv


def main():
  chart = go.Figure()
  chart.add_trace(go.Scatter(x=[1,2,3], y=[1,2,3]))
  chart.show()


if __name__ == "__main__":
  if len(argv) == 1:
    main()
  else:
    f = open(argv[1], "rt")
    #csv_reader = csv.reader(f)
    data = {}
#    for line in csv_reader:
    headers = f.readline()
    headers = headers.split(",")
    headers[-1] = headers[-1][:-1]
    for i in range(len(headers)):
      headers[i] = headers[i].strip()
    for header in headers:
      data[header] = []
    for line in f:
      try:
        line_data = line.split(",")
        #line_data = line
        #print(line_data)
        for i in range(len(line_data)):
          val = float(line_data[i])
          if (i < len(headers)):
            header = headers[i]
            data[header].append(val)
          else:
            print("too much values!")
            print("headers:", headers)
            print("values:", line_data)
      except ValueError:
        pass
    f.close()
#    print(data)
    chart = go.Figure()
    keys = [k for k in data.keys()]
#    print("data.keys:", keys)
    X_name = keys[0]
    print("data samples:",len(data[X_name]))
    for key, val in data.items():
      if key != X_name:
        chart.add_trace(go.Scatter(x=data[X_name], y=val, name=key, mode="markers+lines"))
    chart.show()